Search alternatives:
pattern » patterns (Expand Search)
Showing 21 - 40 results of 2,894 for search '(feature OR features) development pattern', query time: 0.23s Refine Results
  1. 21

    Pattern-Based Feature Extraction for Improved Deep Learning in Financial Time Series Classification by Seyed Ali Hosseini, Francesco Grimaccia, Alessandro Niccolai, Silvia Trimarchi

    Published 2025-01-01
    “…This research addresses the critical gap in effectively identifying and leveraging these patterns to improve predictive accuracy. By collecting tick-by-tick data from the European Carbon Emission Allowance market and resampling it to a 15-minute timeframe, we developed a method to detect pivotal price patterns and extract relevant features. …”
    Get full text
    Article
  2. 22

    Intelligent recognition method for urban road grid patterns by fusing mesh and road features by Zhekun Huang, Haizhong Qian, Zhongxiang Cai, Andong Wang, Junwei Wang, Feng Xiong

    Published 2024-12-01
    “…The road grid pattern (RGP) is a common spatial structure in urban road networks, and is important for revealing urban development, population distribution, and functional area delineation. …”
    Get full text
    Article
  3. 23
  4. 24
  5. 25
  6. 26
  7. 27
  8. 28

    Microscopic features of lignin deposition patterns in young apple roots using brightfield and fluorescence imaging by Yanmin Zhu, Jordan Rainbow, Zhe Zhou

    Published 2024-01-01
    “…Taking advantage of lignin autofluorescence in plant tissues and its specific histochemical staining methods, microscopic features of lignin deposition in young apple roots between genotypes and in response to pathogen infection were assessed. …”
    Get full text
    Article
  9. 29
  10. 30

    Feature Extraction using Histogram of Oriented Gradients and Moments with Random Forest Classification for Batik Pattern Detection by Wafiq Azizah, Soffiana Agustin

    Published 2025-01-01
    “…Consequently, the development of technology-based solutions capable of documenting, analyzing, and recognizing batik patterns with efficiency and precision is imperative for safeguarding this cultural heritage. …”
    Get full text
    Article
  11. 31
  12. 32

    Cellular Automaton Simulation of Tumour Growth – Equivocal Relationships between Simulation Parameters and Morphologic Pattern Features by Josef Smolle

    Published 1998-01-01
    “…Objective: To develop an interpretation procedure which estimates simulation parameters (tumour cell motility, tumour cell adhesion, autocrine and paracrine growth control, stroma destruction) of simulated patterns solely based on morphometric features of the morphologic pattern.…”
    Get full text
    Article
  13. 33
  14. 34

    BIDpred: unraveling B cell Immunodominance hierarchical pattern using statistical feature discovery and deep learning prediction by Sungjin Choi, Dongsup Kim

    Published 2025-08-01
    “…Based on these findings, we developed BIDpred, a B cell ImmunoDominance predictor, that learns newly discovered features by leveraging protein language model embeddings and graph attention network to predict the immunodominance scores. …”
    Get full text
    Article
  15. 35
  16. 36

    Design Features of Antenna Arrays of Automotive Radars Based on Transmitting and Receiving Multi-Element Modules by A. A. Kuzin, A. V. Miakinkov, S. A. Shabalin

    Published 2021-06-01
    “…The effect of coplanar transmission lines on the RP was shown. The features of applying shielding elements in the AA structure were investigated. …”
    Get full text
    Article
  17. 37
  18. 38

    Unsupervised profiling of meditation-induced autonomic responses using electrodermal and heart rate variability features by Jana Bahrova, Martin Augustynek, Tereza Hrncirova, Eliska Szalbotova, Lukas Tomaszek, Martin Malcik, Jan Kubicek

    Published 2025-09-01
    “…This study aimed to explore whether unsupervised clustering can uncover distinct physiological patterns during guided meditation, aiding personalized assessment and biofeedback development. …”
    Get full text
    Article
  19. 39
  20. 40